layer6ai-labs / dgm_geometry
☆15Updated 3 months ago
Alternatives and similar repositories for dgm_geometry:
Users that are interested in dgm_geometry are comparing it to the libraries listed below
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆154Updated 2 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆82Updated 2 months ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆18Updated last month
- ☆42Updated 10 months ago
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆158Updated last year
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆20Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆143Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated last month
- Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)☆67Updated last month
- ☆45Updated 11 months ago
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- ☆170Updated 4 months ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆55Updated 2 years ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆67Updated last year
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆108Updated 6 months ago
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆68Updated last year
- ☆38Updated last year
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆127Updated 2 months ago
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆25Updated last year
- Official code for "On Calibrating Diffusion Probabilistic Models"☆29Updated 2 years ago
- PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance☆32Updated last year
- PyTorch implementation of Variational Diffusion Models.☆80Updated last year
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Implementation of "Analyzing and Improving the Training Dynamics of Diffusion Models"☆94Updated last year
- A mini-library for training consistency models.☆242Updated last year
- The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)☆73Updated 4 months ago
- Official Implementation for "Consistency Flow Matching: Defining Straight Flows with Velocity Consistency"☆209Updated 3 months ago
- ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC☆142Updated 6 months ago
- Flow-matching algorithms in JAX☆89Updated 8 months ago